This project presents a method for customizing pre-trained GAN models using one or a few hand-drawn sketches as input. The system modifies the GAN to match the sketch while preserving other visual attributes like color, texture, and background. Released code includes training, evaluation, and pre-trained model weights for customizing GANs on various object categories.